Faster implementation of algorithms for metric-learning. As Wiki describes metric-learning as task of learning distance function over objects. They follow following properties:
- Non-negativity - greater than or equal to 0
- Symmetry
- Triangle inequality
some of the algorithms for metric-learning include
##References
[1]Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, and Inderjit S. Dhillon. "Information-theoretic Metric Learning." Proc. 24th International Conference on Machine Learning (ICML), 2007.